Alternatives and similar repositories for Contrast-Instruction

Users that are interested in Contrast-Instruction are comparing it to the libraries listed below

• tml-epfl / icl-alignment
  Is In-Context Learning Sufficient for Instruction Following in LLMs? [ICLR 2025]
  ☆30Updated 3 months ago
• PrasannS / rlhf-length-biases
  ☆28Updated last year
• GAIR-NLP / MetaCritique
  Evaluate the Quality of Critique
  ☆35Updated 11 months ago
• allenai / noncompliance
  This repository contains data, code and models for contextual noncompliance.
  ☆22Updated 9 months ago
• ruiqi-zhong / nlparam
  Augmenting Statistical Models with Natural Language Parameters
  ☆26Updated 7 months ago
• Nanami18 / Snowballed_Hallucination
  ☆44Updated 8 months ago
• r-three / RAD
  Reference implementation for Reward-Augmented Decoding: Efficient Controlled Text Generation With a Unidirectional Reward Model
  ☆44Updated last year
• Re-Align / AlignTDS
  Analyzing LLM Alignment via Token distribution shift
  ☆16Updated last year
• sylinrl / CalibratedMath
  Teaching Models to Express Their Uncertainty in Words
  ☆39Updated 2 years ago
• RLHFlow / Directional-Preference-Alignment
  Directional Preference Alignment
  ☆57Updated 7 months ago
• tml-epfl / long-is-more-for-alignment
  Long Is More for Alignment: A Simple but Tough-to-Beat Baseline for Instruction Fine-Tuning [ICML 2024]
  ☆17Updated last year
• ekinakyurek / influence
  Code for "Tracing Knowledge in Language Models Back to the Training Data"
  ☆38Updated 2 years ago
• BrachioLab / incontext_influences
  In-context Example Selection with Influences
  ☆15Updated 2 years ago
• yuzhaouoe / pretraining-data-packing
  [ACL'24 Oral] Analysing The Impact of Sequence Composition on Language Model Pre-Training
  ☆21Updated 8 months ago
• wzhouad / context-faithful-llm
  Code and data for paper "Context-faithful Prompting for Large Language Models".
  ☆39Updated 2 years ago
• princeton-nlp / WhatICLLearns
  [ACL 2023 Findings] What In-Context Learning “Learns” In-Context: Disentangling Task Recognition and Task Learning
  ☆21Updated last year
• sail-sg / dice
  Official implementation of Bootstrapping Language Models via DPO Implicit Rewards
  ☆44Updated last month
• ruiqi-zhong / DescribeDistributionalDifferences
  Code for preprint: Summarizing Differences between Text Distributions with Natural Language
  ☆42Updated 2 years ago
• tatsu-lab / linguistic_calibration
  Align your LM to express calibrated verbal statements of confidence in its long-form generations.
  ☆24Updated 11 months ago
• allenai / hyper-task-descriptions
  Learning adapter weights from task descriptions
  ☆17Updated last year
• chang-github-00 / LLM-Predictive-Decoding
  ☆13Updated 6 months ago
• deeplearning-wisc / args
  ☆40Updated last year
• petezh / OpenD5
  Tasks for describing differences between text distributions.
  ☆16Updated 9 months ago
• LoryPack / LLM-LieDetector
  Code for the ICLR 2024 paper "How to catch an AI liar: Lie detection in black-box LLMs by asking unrelated questions"
  ☆70Updated 10 months ago
• XiangLi1999 / AutoBencher
  ☆28Updated 10 months ago
• SumilerGAO / SunGen
  ☆26Updated 2 years ago
• declare-lab / resta
  Restore safety in fine-tuned language models through task arithmetic
  ☆28Updated last year
• dannyallover / overthinking_the_truth
  ☆29Updated last year
• BunsenFeng / AbstainQA
  AbstainQA, ACL 2024
  ☆25Updated 7 months ago
• GAIR-NLP / OctoThinker
  Revisiting Mid-training in the Era of RL Scaling
  ☆37Updated 3 weeks ago